Matching model representations to task demands

In CSCL environments model representations can stimulate learners to explicate their reasoning and elicit and support knowledge construction. But literature on their effectiveness is not clear with data indicating that representations not adapted to task demands have counterproductive effects. By matching the representational guidance of a model representation to the demands of the task, learners can be supported during their collaborative inquiry process because they receive the information they need when they need it.